Abstract C92: [Advocate Abstract:] The Disparity of Human Papillomavirus Vaccination Knowledge, Attitudes and Practices in College-Age Women 18-26 years old
Bibliographic record
Abstract
Abstract Background: In 2006, two vaccinations with guidelines were released to prevent against the Human Papillomavirus (HPV), and was recommended for all females' ages 11-12. Updated guidelines target females ages 11-12, and encourage catch up vaccinations for ages 13-26. The original recommendations by the CDC and other medical professionals did not address females ages 14-26. In 2006, females ages 14-26 were not recommended to receive the vaccination but were and still are the highest risk population for contracting HPV. During the ages of 14-26 years old, most females begin sexual intercourse and become vulnerable to sexually transmitted diseases Objective: To investigate the key factors that contributes to college-aged students initiating and completing the HPV vaccination. Participants: College students ages 18-26 attending Towson University enrolled in selected Health Science Classes during Summer Session 2012. Methods: Data were collected during the summer session of 2012 from students enrolled in Health Science classes at Towson University Department of Health Science. Classes were selected from the available summer classes that were offered and had approval from the professor .Students completed a survey regarding their Knowledge, Attitudes, and Practices of HPV either during an in-class session or via Blackboard. Statistical analysis was conducted using chi-square, independent t-test, and logistic regression. Citation Format: Francesca Weaks. [Advocate Abstract:] The Disparity of Human Papillomavirus Vaccination Knowledge, Attitudes and Practices in College-Age Women 18-26 years old. [abstract]. In: Proceedings of the Ninth AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2016 Sep 25-28; Fort Lauderdale, FL. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2017;26(2 Suppl):Abstract nr C92.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.157 | 0.014 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".